1697 research outputs found
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Student Services Store, undated
No full textThis photo features the checkout desk in the Student Services store.https://fuse.franklin.edu/studentservices/1005/thumbnail.jp
Designing a Maritime Cybersecurity Risk Intelligence Model with Generative AI and Real-Time Interviews
No full textAI has disrupted all sectors, and the maritime industry is undergoing its own transformation. After reviewing 48 academic papers, the authors showed the need for a holistic and engaging cybersecurity risk analysis method and suggested a survey-based method called Cyber Risk Analysis Method for Maritime Transportation Systems (CRAMMTS). This study presents an AI-powered system for conducting risk analysis interviews with maritime entities, developed using LangChain, LangGraph and OpenAI\u27s GPT-4o in Python. The system uses external sources, such as Maritime Attack Database and CRAMMTS survey results, as a data source, evaluates each question/response pair in real-time, determining the necessity of follow-up questions and ensuring thorough risk coverage. The system stores the interview results, applies basic analysis, and generates recommendation statements for the entity. Retrieval augmented generation is employed to integrate current incidents and risk data into the analysis. Future expansion opportunities include automated analysis and the generation of comprehensive risk analysis documents with actionable recommendations. This approach not only aims to streamline and standardize the maritime risk analysis process but also reduce the cost barrier to cybersecurity resources using advanced language models
Adaptive Leadership Behaviors of United Methodist Lead Pastors and Their Impact on Church Growth: A Study of Medium and Large Congregations
No full textThis research study explores how adaptive leadership behaviors of United Methodist clergy serving as lead pastors in medium and large churches impact church growth. Within the United Methodist Church, leadership faces a critical knowledge gap in understanding the adaptive leadership behaviors of its clergy. This lack of understanding is especially pronounced in medium and large sized churches, where the complexity of leadership challenges may be greater. Without a clear understanding of these adaptive leadership behaviors, the United Methodist Church may struggle to effectively develop and support its clergy in navigating the evolving challenges of modern ministry and fostering church growth. The methodology utilized was an explanatory sequential mixed-methods study. The primary quantitative research question for this study is: What are the adaptive leadership behaviors used by United Methodist clergy serving as lead pastors in medium and large churches? The primary qualitative research question for this study is: what are the effects of adaptive leadership behaviors on church growth? The results of this research study showed a moderate positive correlation between adaptive leadership behavior use and church growth. The results of this research study also provided detailed qualitative data about clergy adaptive leadership behaviors, strategies for church growth, and an outlier theme of clergy self-care as an important leadership behavior
Instructor and Student, undated
No full textThis photo features a staff member and student looking at a pamphlet.https://fuse.franklin.edu/ymca/1020/thumbnail.jp
Instructor and Student, undated
No full textThis photo features an instructor pointing at a section of a document that he is reviewing with a student.https://fuse.franklin.edu/ymca/1019/thumbnail.jp
Machine Classroom with Students, undated
No full textThis photo features a row of students testing electronic circuits, with the instructor assisting by adjusting a Heathkit SG-8 RF Signal Generator.https://fuse.franklin.edu/ymca/1016/thumbnail.jp
A Comparative Study of At-Risk Students in Cohort and Non-Cohort Programs at a Community College. What’s Next?
Full text linkAt-risk college students often drop out or face academic probation within their first year. This longitudinal comparative study examined at-risk students\u27 academic standing, retention, graduation, and tutoring usage in a cohort program versus a non-cohort initiative at a community college. Findings highlighted the impact of cohort programs, accentuating the value of combining academic and non-academic support to improve outcomes for at-risk students. These insights inform evidence-based practices and offer actionable recommendations for policymakers and institutions.
What is next after the initial research? Building on these findings, I am implementing changes to program structures, prioritizing in-person integration to assess its effects on academic standing, retention, and graduation over the next three years. The goal is to refine and expand effective practices while addressing challenges identified in the initial study. This presentation will examine the original research and give antidotal research and findings from fall 2024 to now
AI Why? Investigating Student Perceptions of AI Use
Full text linkThis interdisciplinary research study is to identify and articulate institutional perceptions of generative AI (GenAI) by inquiring into student understanding of GenAI and its suitability or utility for scholarly use.
In particular, and in order to contribute to the growing field of literature that investigates student perceptions of GenAI, this study will focus particularly on the perceptions of a student demographic composed primarily of professional adult students beginning their doctoral degree.
To investigate perceptions of GenAI among introductory doctoral students and determine when, and how, students might feel comfortable using GenAI in an academic setting, this study will examine student responses to an optional GenAI component included in a first-year doctoral writing assignment